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ICASSP
2010
IEEE
13 years 8 months ago
Empirical Type-i filter design for image interpolation
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Karl S. Ni, Truong Q. Nguyen
CVPR
2012
IEEE
11 years 10 months ago
Discriminately decreasing discriminability with learned image filters
In machine learning and computer vision, input signals are often filtered to increase data discriminability. For example, preprocessing face images with Gabor band-pass filters ...
Jacob Whitehill, Javier R. Movellan
ICASSP
2011
IEEE
12 years 11 months ago
Synthesis filter bank optimization with lattice structure constraints in 2D separable image processing
In one-dimensional signal processing, the perfect reconstruction (PR) synthesis FB is not unique for a given analysis LP oversampled filter bank (FB). Optimal Design methods have...
Li Chai, Yuxia Sheng, Jingxin Zhang
ICIP
2003
IEEE
14 years 9 months ago
Filter banks for multiple description coding
In this paper we review some of our recent results on the design of critically sampled and oversampled filter banks for multiple description coding. For the case of critically sam...
Pier Luigi Dragotti
ICIP
1994
IEEE
14 years 2 days ago
Design of Multi-Dimensional Derivative Filters
Many multi-dimensional signal processing problems require the computation of signal gradients or directional derivatives. Traditional derivative estimates based on adjacent or cen...
Eero P. Simoncelli